• # Scilab

• Referenced in 166 articles [sw00834]
• solve constrained and unconstrained continuous and discrete optimization problems. Statistics: Tools to perform data analysis ... control system study Signal Processing: Visualize, analyze and filter signals in time and frequency domains...
• # CoSaMP

• Referenced in 202 articles [sw08727]
• delivers the same guarantees as the best optimization-based approaches. Moreover, this algorithm offers rigorous ... sampling matrix. For compressible signals, the running time is just $O(Nlog ^{2}N)$, where...
• # Esterel

• Referenced in 162 articles [sw20012]
• Signal, which are particularly well-suited to programming reactive systems, including real-time systems ... embedded in a larger system. Extensive optimization is available. We provide a graphical symbolic debugger...
• # PSAT

• Referenced in 10 articles [sw07385]
• Continuation Power Flow; Optimal Power Flow; Small Signal Stability Analysis; Time Domain Simulation; Complete Graphical...
• # Wirtinger Flow

• Referenced in 74 articles [sw34175]
• wish to reconstruct a complex-valued signal x of C^n about which we have ... this scheme leads to a near-linear time algorithm for a physically realizable model based ... insights for the analysis of non-convex optimization schemes that may have implications for computational...
• # MIMO-OFDM

• Referenced in 4 articles [sw02699]
• algorithm for optimal order. In the rapidly time-varying channel environment, the performance of traditional ... optimal order of the fractional Fourier transform, the modulated signals can match the time-varying ... optimal order of fractional Fourier transform, and the impact of system parameters on the optimal ... power of desired signal effectively and improve the performance over rapidly time-varying channels with...
• # MCELL

• Referenced in 23 articles [sw06121]
• modeling tool for realistic simulation of cellular signaling in the complex 3-D subcellular microenvironment ... stochastic behavior dominates. MCell uses highly optimized Monte Carlo algorithms to track the stochastic behavior ... discrete molecules in space and time as they diffuse and interact with other discrete effector...
• # OptFROG

• Referenced in 1 article [sw29893]
• OptFROG - Analytic signal spectrograms with optimized time–frequency resolution. A Python package for the calculation ... being optimal simultaneously for a given window function employed in the underlying short-time Fourier ... yield a time–frequency representation of the input signal with marginals that represent the original...
• # NeNMF

• Referenced in 30 articles [sw17586]
• factors. It has been widely applied to signal processing, computer vision, and data mining. Traditional ... applies Nesterov’s optimal gradient method to alternatively optimize one factor with another fixed ... constant. Since NeNMF does not use the time consuming line search and converges optimally...
• # Signal-3L

• Referenced in 16 articles [sw26857]
• cells for gene therapy. To effectively and timely use such a tool, however, the first ... method for rapidly and accurately identifying the signal peptide for a given nascent protein. With ... have developed a novel method for predicting signal peptide sequences and their cleavage sites ... system. Signal-3L is featured by high success prediction rates with short computational time...
• # GameShrink

• Referenced in 11 articles [sw12511]
• nodes in a structure we call the signal tree. It is no larger than ... drastically smaller, so GameShrink has time and space complexity sublinear in the size ... nevertheless yield (ex post) provably close-to-optimal strategies...
• # DOTcvpSB

• Referenced in 4 articles [sw07305]
• Dynamic optimization seeks the computation of optimal time-varying conditions (called control variables) for this ... desired dynamic behavior, e.g. stimulate a cell signaling cascade to maximize amplitude strength and/or duration ... other words, DO allows the computation of optimal operating policies for processes or systems which...
• # ROPTLIB

• Referenced in 9 articles [sw27188]
• many applications including computer vision, signal processing, and numerical linear algebra. The substantial background required ... successfully design and apply Riemannian optimization algorithms is a significant impediment for many potential users ... describes ROPTLIB, a C++ library for Riemannian optimization. Unlike prior packages, ROPTLIB simultaneously achieves ... related objects; (iii) it provides efficient computational time due to its C++ core...
• # Norbert

• Referenced in 2 articles [sw33805]
• Given all source spectrograms and the mixture Time-Frequency representation, this repository can build ... separation, by optimally exploiting multichannel information (like in stereo signals). This is done...
• # BioOptimizer

• Referenced in 6 articles [sw17421]
• binding sites is expensive and time-consuming. Many motif-finding programs have been developed ... optimize this scoring function so as to reduce noise in the motif signal found...
• # DG2VHDL

• Referenced in 3 articles [sw00202]
• memory and control processor arrays, known as signal flow graphs. This translation facilitates the rapid ... VHDL models is near optimal, in the sense that the time required to synthesize them...
• # peakfit

• Referenced in 1 article [sw22503]
• command-line peak fitting program for time-series signals, written as a self-contained Matlab ... single m-file. Uses a non-linear optimization algorithm to decompose a complex, overlapping-peak...
• # TasNet

• Referenced in 1 article [sw31221]
• phase and magnitude of the signal, the suboptimality of time-frequency representation for speech separation ... these shortcomings, we propose a fully-convolutional time-domain audio separation network (Conv-TasNet ... deep learning framework for end-to-end time-domain speech separation. Conv-TasNet uses ... generate a representation of the speech waveform optimized for separating individual speakers. Speaker separation...
• # TLS

• Referenced in 1 article [sw29784]
• Python package TLS: Transit Least Squares: An optimized transit-fitting algorithm to search for periodic ... method to detect planetary transits from time-series photometry, the Transit Least Squares (TLS) algorithm ... algorithm searches for rectangular signals in stellar light curves, TLS searches for transit-like features ... which we partly compensate by applying an optimized period sampling and transit duration sampling, constrained...
• # MMOpt

• Referenced in 1 article [sw23645]
• Meeting the challenges of optimized memory management in embedded vision systems using operations research ... ever growing complexity of signal and image processing applications, and the stringent constraints related ... main cost metrics, including area, performance (real-time aspect) and energy consumption, of modern ... designed architectural solution and its optimization process, called Memory Management Optimization (MMOpt), was proposed...