To the weight update of Latent Semantic Analysis(LSA)model, this paper proposes an adaptive weight update algorithm based on Bayesian theory(ALSAB).
针对潜在语义分析（LSA）模型的权重更新问题，提出了一种基于贝叶斯理论的自适应权重更新算法ALSAB。
Using the parallel operation capability of DSP, the operation cycles of FFT and tap-weight update can be shorten and the real-time capability of the optimized algorithm can be easily met.
利用DSP的并行运算能力，缩短了FFT和权值更新的运行周期，因此优化后的算法很容易达到实时性。
Using the parallel operation capability of DSP, the operation cycles of FFT and tap-weight update can be shorten and the real-time capability of the optimized algorithm can be easily met.
利用DSP的并行运算能力，缩短了FFT和权值更新的运行周期，因此优化后的算法很容易达到实时性。
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