子分类：
| 序号 | 专利名 | 申请号 | 申请日 | 公开（公告）号 | 公开（公告）日 | 发明人 |
|---|---|---|---|---|---|---|
| 121 | 디지탈신호의 부호화/복호화 방법 및 장치 | KR1019940009156 | 1994-04-28 | KR1019960003628B1 | 1996-03-20 | 태원근 |
| The encoder includes a block divider for an input spectrum signal. Scale factors of the divided blocks are found, and a masking level is extracted with respect to them. Total block energy, and sub-block energy are found. An adaptive bit allocator determines a word length for each block. A number of sub-blocks is supplied by comparing the masking level with the scale factor. The input spectrum signal is normalized and quantified using the scale factor and the wave length. the scale factor, the number of sub-blocks, and the quantization data are converted into an error correction code. The encoder for signal transmission minimizes side information by avoiding transmitting word lengths. | ||||||
| 122 | 시분할 다중 통신 시스템의 송수신 장치 | KR1019870701098 | 1986-03-25 | KR1019950005863B1 | 1995-05-31 | 찰스넬슨링크2세; 에릭리드쇼어맨; 도날드엘.린더 |
| 내용 없음. | ||||||
| 123 | Signal processing method, transmitter, and compressive sampling receiving device | US15394354 | 2016-12-29 | US10044401B2 | 2018-08-07 | Hufei Zhu |
| Embodiments provide a signal processing method, a transmitter, and a compressive sampling receiving device. The method includes: obtaining a periodic pseudo random sequence used when a compressive sampling receiving device performs frequency mixing. The method also includes selecting 2N information symbols from N radio signals; determining a precoding matrix D according to the periodic pseudo random sequence. The method also includes using the precoding matrix to perform precoding processing on the 2N information symbols to obtain 2N precoding results. The method also includes separately transmitting the 2N precoding results to the compressive sampling receiving device by using the 2N carriers. | ||||||
| 124 | COMPANDING SYSTEM AND METHOD TO REDUCE QUANTIZATION NOISE USING ADVANCED SPECTRAL EXTENSION | US15915405 | 2018-03-08 | US20180197562A1 | 2018-07-12 | Per Hedelin; Arijit Biswas; Michael Schug; Vinay Melkote |
| Embodiments are directed to a companding method and system for reducing coding noise in an audio codec. A compression process reduces an original dynamic range of an initial audio signal through a compression process that divides the initial audio signal into a plurality of segments using a defined window shape, calculates a wideband gain in the frequency domain using a non-energy based average of frequency domain samples of the initial audio signal, and applies individual gain values to amplify segments of relatively low intensity and attenuate segments of relatively high intensity. The compressed audio signal is then expanded back to the substantially the original dynamic range that applies inverse gain values to amplify segments of relatively high intensity and attenuating segments of relatively low intensity. A QMF filterbank is used to analyze the initial audio signal to obtain a frequency domain representation. | ||||||
| 125 | COMPANDING SYSTEM AND METHOD TO REDUCE QUANTIZATION NOISE USING ADVANCED SPECTRAL EXTENSION | US15914917 | 2018-03-07 | US20180197561A1 | 2018-07-12 | Per Hedelin; Arijit Biswas; Michael Schug; Vinay Melkote |
| Embodiments are directed to a companding method and system for reducing coding noise in an audio codec. A compression process reduces an original dynamic range of an initial audio signal through a compression process that divides the initial audio signal into a plurality of segments using a defined window shape, calculates a wideband gain in the frequency domain using a non-energy based average of frequency domain samples of the initial audio signal, and applies individual gain values to amplify segments of relatively low intensity and attenuate segments of relatively high intensity. The compressed audio signal is then expanded back to the substantially the original dynamic range that applies inverse gain values to amplify segments of relatively high intensity and attenuating segments of relatively low intensity. A QMF filterbank is used to analyze the initial audio signal to obtain a frequency domain representation. | ||||||
| 126 | Method and Apparatus for Using a Current Picture as a Reference Picture | US15574253 | 2016-05-26 | US20180139461A1 | 2018-05-17 | Shan LIU; Xiaozhong XU; Chenghao LIU |
| Methods and apparatus of managing decoded picture buffer for a video coding system are disclosed for a system using an Inter prediction mode and an Intra Block Copy mode. According to one method, a current-picture-usage flag in a picture or slice level is determined. If the current-picture-usage flag indicates that the current picture is not allowed to be used as the reference picture for the current picture, only one picture buffer is allocated in a DPB (decoded picture buffer) for the current picture and a reconstructed current picture after in-loop filtering is stored in the picture buffer in the DPB. According to another method, the system allocates only one picture buffer in the DPB for both the Inter prediction mode and the Intra Block Copy mode of the current picture if all of one or more in-loop filters are disabled for the entire part of the current picture. | ||||||
| 127 | Combination low-pass filter | US15637787 | 2017-06-29 | US09923646B1 | 2018-03-20 | Yves Faroudja |
| A combination low-pass filter and a method for reducing bandwidth of an input signal comprises filtering an input signal in parallel with a first type of low-pass filter to produce a first filtered signal having the first type of artifacts, and a second low-pass filter to produce a second filtered signal that does not include the first type of artifacts. Responsive to detecting no significant transition in the input signal, the first filtered signal is output. And responsive to detecting a significant transition in the input signal, portions of the first filtered signal are selectively replaced with portions of the second filtered signal by switching outputs from the first filtered signal to the second filtered signal in transition zones occurring immediately before and immediately after the detected transition in the input signal, wherein the transition zones overlap duration of the first type of artifacts caused by the first filter. | ||||||
| 128 | EFFICIENT ADAPTIVE SEISMIC DATA FLOW LOSSLESS COMPRESSION AND DECOMPRESSION METHOD | US15523449 | 2015-10-09 | US20170317688A1 | 2017-11-02 | Shanhui XU; Jian GUO; Changchun YANG; Guangding LIU |
| An efficient adaptive seismic data flow lossless compression and decompression method, which aims at solving the problem that data occupies the storage space and affects the transmission efficiency and is used for efficiently compressing geophysical instrument data, particularly seismic data after 24-bit analog-to-digital conversion. In the method, a data flow is compressed in a lossless mode in real time, and sampling data is adaptively compressed into 1 byte or 2 bytes or 3 bytes from original 24 bits and 3 bytes in a coding manner. Besides the foregoing data ranges, other integers that can be expressed by other 24-bit integer data with symbols are required to be expressed by 4 bytes after being operated through a compression algorithm. The method has the advantages of saving a large amount of storage space and remarkably increasing the data transmission efficiency. | ||||||
| 129 | System and apparatus for decoding tree-based messages | US14820856 | 2015-08-07 | US09793944B2 | 2017-10-17 | Kermin Elliott Fleming; Peter Anthony Iannucci |
| A system and techniques for decoding a message received over a communication channel comprises a receiver for receiving an encoded message. A sorting module is configured to organize candidate messages into a number of bins, sort the candidate messages within each bin, and output a group of candidate messages, the group comprising a number of most likely candidate messages from each message bin. A traceback module is configured to receive the most likely candidate message, and to walk through the tree of candidate messages to generate a decoded message. | ||||||
| 130 | Methods for Compressing and Decompressing IQ Data, and Associated Devices | US15509254 | 2014-09-19 | US20170288695A1 | 2017-10-05 | Ang Feng; Chen WANG; Jinsong YANG |
| A method for compressing IQ data for high speed transport link and an associated device. The method comprises: determining, based on dynamical statistical distribution of the IQ data, one or more parameters of a companding function for a nonlinear companding operation (S310); applying the companding function with the determined one or more parameters on the IQ data (S320); performing uniform quantization on the IQ data to generate compressed IQ data (S330); and transmitting the compressed IQ (S340). And a method for decompressing compressed IQ data for high speed transport link, and an associated device. | ||||||
| 131 | COMPRESSING/DECOMPRESSING FREQUENCY DOMAIN SIGNALS | US15044822 | 2016-02-16 | US20170237831A1 | 2017-08-17 | Roy YANG; Phillip RASKY; Timothy JEANES; Christopher SCHMIDT |
| Various communication systems may benefit from improved bandwidth compression techniques. For example, certain communication systems may benefit from a radio fronthaul traffic compression on a frequency domain data. A method can include identifying a composite waveform corresponding to a real component and an imaginary component of a frequency domain data at a first device. The method may also include causing a transmission of a value that represents the composite waveform to a second device from the first device. | ||||||
| 132 | Signal Processing Method, Transmitter, and Compressive Sampling Receiving Device | US15394354 | 2016-12-29 | US20170111082A1 | 2017-04-20 | Hufei Zhu |
| Embodiments provide a signal processing method, a transmitter, and a compressive sampling receiving device. The method includes: obtaining a periodic pseudo random sequence used when a compressive sampling receiving device performs frequency mixing. The method also includes selecting 2N information symbols from N radio signals; determining a precoding matrix D according to the periodic pseudo random sequence. The method also includes using the precoding matrix to perform precoding processing on the 2N information symbols to obtain 2N precoding results. The method also includes separately transmitting the 2N precoding results to the compressive sampling receiving device by using the 2N carriers. | ||||||
| 133 | Base station system and communication apparatus | US14951776 | 2015-11-25 | US09628139B2 | 2017-04-18 | Akira Agata; Shinobu Nanba |
| A base station system according to an aspect of the invention includes a baseband unit (BBU) and a radio frequency (RF) unit (RFU) connected to the BBU via a communication line. The RFU (BBU) measures the frequencies of occurrence of sampled values indicated by sampled data that is a digital signal corresponding to a baseband signal to be transmitted to the BBU (RFU), and generates a frequency distribution representing a relationship between the sampled value having occurred and the frequency of occurrence. Furthermore, the RFU (BBU) determines a plurality of thresholds for compressing the sampled data, which are used for quantization processing of the sampled value, in accordance with the generated frequency distribution, and compresses the sampled data by the quantization processing using the plurality of thresholds. | ||||||
| 134 | System and Apparatus for Decoding Tree-Based Messages | US14820856 | 2015-08-07 | US20170041041A1 | 2017-02-09 | Kermin Elliott Fleming; Peter Anthony Iannucci |
| A system and techniques for decoding a message received over a communication channel comprises a receiver for receiving an encoded message. A sorting module is configured to organize candidate messages into a number of bins, sort the candidate messages within each bin, and output a group of candidate messages, the group comprising a number of most likely candidate messages from each message bin. A traceback module is configured to receive the most likely candidate message, and to walk through the tree of candidate messages to generate a decoded message. | ||||||
| 135 | Method for reducing the crest factor wide band signal | US14800289 | 2015-07-15 | US09496903B2 | 2016-11-15 | Philippe Mege; Christophe Molko |
| A method for reducing the crest factor of a wideband signal including N narrowband signals, N being a natural integer greater than or equal to two, the method, implemented by an emitting equipment, including phase shifting the narrowband signals between them in such a way as to reduce the crest factor. | ||||||
| 136 | METHOD FOR REDUCING THE CREST FACTOR WIDE BAND SIGNAL | US14800289 | 2015-07-15 | US20160149600A1 | 2016-05-26 | Philippe MEGE; Christophe MOLKO |
| A method for reducing the crest factor of a wideband signal including N narrowband signals, N being a natural integer greater than or equal to two, the method, implemented by an emitting equipment, including phase shifting the narrowband signals between them in such a way as to reduce the crest factor. | ||||||
| 137 | Data processing apparatus | US11570167 | 2005-06-08 | US09239702B2 | 2016-01-19 | Antonius Adrianus Maria Van Wel |
| A programmable data processing apparatus having a bit-plane extraction operation is described, for extracting data from a value of, for example, 32 bits containing 4 bytes, 1a to 1d. Each byte 1a to 1d comprises 8 bits, (a0-a7, b0-b7, c0-c7 and d0-d7, respectively). The bit-plane extraction operation retrieves one bit from each of these bytes, for example the second bit (a1, b1, c1, d1), which is specified by an argument. The operation involves concatenating these bits (a1, b1, c1, d1) and returning a result value 5. Depending on the particular data processing application, the result value may be bit-reversed to provide a result value 7 (for example, if a bit-reversal is required to deal with endianness, or other reasons). The bit-plane extraction operation can be used as a pre-processing operation in data processing operations such as “sum-of-absolute-differences” in the processing of video data. | ||||||
| 138 | Systems and methods for variable rate coding in a data processing system | US13426714 | 2012-03-22 | US09230596B2 | 2016-01-05 | Shaohua Yang |
| The present inventions are related to systems and methods for data processing, and more particularly to systems and methods for variable rate coding in a data processing system. As an example, a data processing system may include an encoder circuit. The encoder circuit includes at least a first encoder and a second encoder, and is operable to generate a first level encoded output that is the same length for a given code rate whether the first encoder or the second encoder is selected. | ||||||
| 139 | System and apparatus for decoding tree-based messages | US13901667 | 2013-05-24 | US09160399B2 | 2015-10-13 | Kermin Elliott Fleming; Peter Anthony Iannucci |
| A system and techniques for decoding a message received over a communication channel comprises a receiver for receiving an encoded message. A sorting module is configured to organize candidate messages into a number of bins, sort the candidate messages within each bin, and output a group of candidate messages, the group comprising a number of most likely candidate messages from each message bin. A traceback module is configured to receive the most likely candidate message, and to walk through the tree of candidate messages to generate a decoded message. | ||||||
| 140 | Method and apparatus for transmitting sparse signal, and method and apparatus for recovering sparse signal via belief propagation and Bayesian hypothesis test | US13420176 | 2012-03-14 | US09160398B2 | 2015-10-13 | Heung-No Lee; Kiseon Kim; Jaewook Kang |
| Disclosed are a method and an apparatus for transmitting a sparse signal, and a method and an apparatus for recovering the sparse signal. The method for recovering a sparse signal by using a sparse signal recovering device that recovers a target signal from a received signal includes receiving a measurement signal with a noise signal from a sparse signal transmitting device which scans a target signal based on a measurement matrix, performing a mutual update procedure in which a likelihood probability is calculated by using a posterior probability of the target signal based on a relation between the target signal and the measurement signal, and the posterior probability is updated by using the likelihood probability, and recovering the target signal by performing maximum a posterior estimation for a final posterior probability output through the mutual update procedure. | ||||||
QQ群二维码
意见反馈
意见反馈