many of the video processing algorithms cannot be implemented in real time on general computers, due to their computational complexity. for an efficient implementation, a custom hardware that can be reconfigured for the algorithm, is used. in this paper a new acceleration hardware based on fpga elements is proposed. this hardware can be adapted with the processing algorithm through fpga design ...

this paper presents a full duplex, real time implementation of itu-t g.723.1 [7,8] speech coder using the tms320c5402 dsp chip which is based on a 16 bit fixed-point architecture. an optimization method is proposed in order to reduce the total necessary cycle time consumed in real-time implementation. the multi-pulse maximum likelihood quantization (mp-mlq) excitation search block which is the ...

A new Markov-based method for real time prediction of network transmission time delays is introduced. The method considers a Multi-Layer Perceptron (MLP) neural model for the transmission network, where the number of neurons in the input layer is minimized so that the required calculations are reduced and the method can be implemented in the real-time. For this purpose, the Markov process order...

Machine learning algorithms are widely used in many intelligent applications and cloud services. Currently, the hottest topic this field is Deep Learning represented often by neural network structures. fully known as deep network, artificial a typical machine method an important way of learning. With massive growth data, research has made significant achievements natural language processing (NL...