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eForth is a small portable Forth design for a wide range of microprocessors. This is the first implementation for 8086. As machine dependency is consolidated into 31 code words, moving eForth to other CPU s will be much less of a chore comparing to other Forth models.

graspForth is my humble attempt at a Forth-in-C that has the following goals: GCC ......... to support all 32-bit micros that GCC cross-compiles to. Relocatable . to be able to run in-place in either Flash or Ram. Fast ........ to be "not much" slower than an assembly based native Forth. Small ... ...

Basic projection pursuit algorithm demonstrated on 2 sound signals。 include: atutorialintroduction.m efica.m state.m seed.m

matlab矩阵处理例程。A matrix processor, Matx_Proc() is developed which can be used to process and edit matrices and state space models, and perform various kind of matrix analysis in a visible way.

Debussy是NOVAS Software, Inc(思源科技)發展的HDL Debug & Analysis tool，這套軟體主要不是用來跑模擬或看波形，它最強大的功能是：能夠在HDL source code、schematic diagram、waveform、state bubble diagram之間，即時做trace，協助工程師debug。 可能您會覺的：只要有simulator如ModelSim就可以做debug了，我何必再學 ...

HMM(Hidden Markov Model)，狀態數目N=3，觀察符號數目M=2，時間長度T=3。 (a) Probability Evaluation: 給定狀態轉換機率A、狀態符號觀察機率B、和起始機率 ，求觀察序列 出現的機率。 (b) Optimal State Sequence: 給定狀態轉換機率A、狀態符號觀察機率B、起始機率 、和觀察序列 ，求一個狀態序列 使得O出現的機率最大。 ...

Simulation of RM(1,3), equivalent to the (8,4,4) extended Hamming code. Soft-decision decoding performed by the Green machine

county, random population coordinates were generated using the complete spatial randomness (CSR) function in S-PLUS. Then, the background information was attached to each individual county based on the county?s distribution for the class of interest. Finally, all counties were merged into a single d ...

this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.

The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generi ...