Search Results - bruce+qu

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Syndrome Sphere Decoding of Linearly Expurgated Tail-Biting Convolutional Codes (Case No. 2025-285)
Summary: UCLA researchers have developed Syndrome Sphere Decoding (SSD), a breakthrough algorithm that delivers near-optimal error correction for tail-biting convolutional codes (TBCCs) with dramatically reduced decoding complexity. By eliminating the need for large list decoders, SSD enables faster, low-power, and reliable communication across wireless,...
Published: 10/10/2025   |   Inventor(s): Richard Wesel, Wenhui Sui, Bruce Qu
Keywords(s): Convolutional codes, design software, Low-Density Parity-Check Code, Software, Software & Algorithms, Software Development Tools, Software-enabled learning, tail-biting convolutional codes
Category(s): Electrical, Electrical > Signal Processing, Electrical > Wireless, Software & Algorithms > Communication & Networking, Software & Algorithms > Security & Privacy
Dual List Decoding (Case No. 2024-172)
Summary: UCLA researchers have developed a parallel list decoding algorithm to rapidly improve wireless communication data processing. Reference: Dual List Decoding (Case No. 2024-172) Background: Convolutional codes (CCs) are used extensively in wireless communication systems to improve data transmission reliability over noisy signals. During...
Published: 2/14/2025   |   Inventor(s): Richard Wesel, Bruce Qu, Amaael Antonini, Wenhui Sui
Keywords(s):  
Category(s): Software & Algorithms, Software & Algorithms > Communication & Networking