Optimization Technologies for Digital Signal Processing

Dear Colleagues,

This Special Issue will cover original research and extensive review articles on optimization techniques for digital signal processing, including, but not limited to, the following topics:

Algorithmic Optimization

Includes mathematical and signal-processing-level transformations to reduce complexity:

• Common subexpression elimination;
• Strength reduction (e.g., replacing multiply with shift);
• Efficient algorithms: FFT, CORDIC, IIR over FIR, etc.;
• Approximation methods (lookup tables, series expansions);
• POSIT encoding.

Parallelism and Pipelining

Covers techniques that exploit concurrency at various levels:

• Instruction-level: ILP, VLIW, superscalar;
• Data-level: SIMD;
• Task-level: multi-core parallelism;
• Pipelining: both software and hardware level;
• Loop unrolling and software pipelining;
• Systolic array for matrix multiplications.

Memory and Data Handling Optimization

Focuses on efficient data movement and storage:

• Tiling and blocking for cache locality;
• Double buffering to overlap I/O and computation;
• Scratchpad memory and local buffer management;
• Cache-friendly data access and alignment;
• RTOS for signal processing.

Hardware and Low-Level Optimization

Platform-specific enhancements that leverage hardware capabilities:

• Fixed-point vs. floating-point tradeoffs;
• Use of MAC, SIMD, and saturation arithmetic;
• Custom instructions in ASIC/FPGA;
• Hand-coded intrinsics or inline assembly.

Toolchain and Real-Time System Considerations

Optimizations enabled via compilers, toolchains, and system-level decisions:

• Compiler optimization flags and profile-guided optimization;
• Bit-exact simulation, profilers, and cycle-accurate models;
• Deterministic algorithms for real-time systems;
• Buffer deadline management and task scheduling.

Prof. Dr. Jiajun Zhang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Technologies is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• digital signal processing (DSP)
• signal processing optimization
• low-power DSP
• high-performance DSP
• real-time signal processing
• resource-contrained DSP
• fast DSP algorithms
• approximate computing
• loop unrolling
• CORDIC algorithm
• POSIT arithmetic
• quantization techniques
• cache optimization
• compiler optimization
• intrisics