H03M13/6583

SYSTEM AND METHODS FOR DATA COMPRESSION AND NONUNIFORM QUANTIZERS
20190326926 · 2019-10-24 ·

A method for differentiator-based compression of digital data includes (a) using a subtraction module, subtracting a predicted signal from a sample of an original signal to obtain an error signal, (b) using a quantization module, quantizing the error signal to obtain a quantized error signal, and (c) generating the predicted signal using a least means square (LMS)-based filtering method.

Control Information for a Wirelessly-Transmitted Data Stream

Control information for configuring an audiovisual device to present multimedia content according to a first service type may be generated. A method may include generating first control information for configuring an audiovisual device to decode a multimedia stream, generating first data that indicates a structure of the first control information, and transmitting the first data and the first control information. The first control information may be generated according to a first protocol version. Second data and second control information may be similarly generated and transmitted according to a second protocol version. Disclosed techniques may facilitate receiving devices to determine whether they support received wireless transmissions and decode the transmissions based on the control information.

Method for controlling decoding process based on path metric value and computing apparatus and mobile device for controlling the same

A mobile device includes a display, a mobile-communication modem including a Viterbi decoder (VD) configured to decode a tail biting convolutional code (TBCC)-encoded data, a memory coupled to the mobile-communication modem, and a wireless antenna coupled to the mobile-communication modem and to receive a Physical Downlink Control Channel (PDCCH). The VD is configured to: receive data encoded by TBCC; select a candidate to initiate a training section; determine final path metric (PM) values of possible states at a last step of the training section; determine a PM-related value based on the final PM values of the possible states; and determine an early termination of a decoding for the candidate based on the PM-related value.

Multimedia streams which use control information to associate audiovisual streams

A system and method for wirelessly transmitting audiovisual information. A first plurality of packets including audiovisual information may be generated. A second plurality of packets including error correction coding information for the audiovisual information may be generated. Control information for associating the error correction coding information with the audiovisual information may be generated, and a third plurality of packets including the control information may also be generated. The plurality of packets, including the first, second, and third pluralities of packets, may be transmitted to a mobile device in a wireless manner. The control information may inform the mobile device of the association of the first error correction coding information with the audiovisual information.

Generating control information for use in transmission with a multimedia stream to an audiovisual device

Control information for configuring an audiovisual device to present multimedia content according to a first service type may be generated. A method may include generating first control information for configuring an audiovisual device to decode a multimedia stream, generating first data that indicates a structure of the first control information, and transmitting the first data and the first control information. The first control information may be generated according to a first protocol version. Second data and second control information may be similarly generated and transmitted according to a second protocol version. Disclosed techniques may facilitate receiving devices to determine whether they support received wireless transmissions and decode the transmissions based on the control information.

Adjusted min-sum decoder

Certain aspects of the present disclosure generally relate to techniques for efficient, high-performance decoding of low-density parity check (LDPC) codes, for example, by using an adjusted minimum-sum (AdjMS) algorithm, which involves approximating an update function and determining magnitudes of outgoing log likelihood ratios (LLRs). Similar techniques may also be used for decoding turbo codes. Other aspects, embodiments, and features (such as encoding technique) are also claimed and described.

Generating Control Information for use in Transmission with a Multimedia Stream to an Audiovisual Device

Control information for configuring an audiovisual device to present multimedia content according to a first service type may be generated. A method may include generating first control information for configuring an audiovisual device to decode a multimedia stream, generating first data that indicates a structure of the first control information, and transmitting the first data and the first control information. The first control information may be generated according to a first protocol version. Second data and second control information may be similarly generated and transmitted according to a second protocol version. Disclosed techniques may facilitate receiving devices to determine whether they support received wireless transmissions and decode the transmissions based on the control information.

Method and apparatus for layer-specific LDPC decoding

Methods and apparatus are disclosed for decoding low-density parity check (LDPC) encoded data using a parity check matrix having a plurality of layers. The apparatus includes a decoder having circuitry to decode, layer by layer, a LDPC codeword utilizing functional adjustments and an algorithmic approximation to belief propagation to provide an estimate of the LDPC codeword, the functional adjustments including layer specific parameters for at least two layers of the parity check matrix associated with the LDPC codeword.

Low density party check (LDPC) decoder and method of decoding performed by LDPC decoder in digital video broadcasting (DVB) system

A low density parity check (LDPC) decoder, including a memory configured to store a log-likelihood ratio (LLR) value of bits output from a demapper, and an LLR message exchanged between a variable node and an inspection node. The LDPC decoder further includes a node processor configured to select a decoding algorithm from a first algorithm and a second algorithm based on a code rate of an LDPC code, and decode the LLR message based on the selected decoding algorithm.

Error correction decoding apparatus

An error correction decoding apparatus includes column operators 201 and row operators 211 to 213 provided respectively in accordance with the columns and rows of a check matrix of an LDPC code. A received LLR (log-likelihood ratio) of a received sequence is input into the column operators 201 together with row LLRs from the row operators 211 to 213, whereupon the column operators 201 calculate a total value z.sub.1 of the received LLR of the received sequence and the row LLRs from the row operators 211 to 213. The row operators 211 to 213 hold operation results relating to row LLRs or column LLRs obtained during a previous operation, calculate column LLRs using the total value input from the column operators 201 and the held operation results, calculate row LLRs from the calculated column LLRs, and output the calculated row LLRs to the column operators 201.