脉冲形状甄别（PSD）技术在核与粒子物理、核医学等领域应用广泛，常被用来区分探测器或入射粒子的性质、及获得粒子与探测器相互作用的空间/时间信息等。. 传统PSD主要采用双积分和成形甄别等模拟路线实现，具有死时间长、甄别效率低等缺点。基于波形采样技术的数字化PSD避免了模拟积分的死时间,直接利用原始波形中的信息，更灵活、高效。但现有的数字化PSD一方面采样率和集成度还有待进一步提高，另一方面处理算法大多依赖于PC机或DSP程序串行实现，难以适应纳秒级快脉冲信号的数字化和高计数率情况下的实时甄别。. 本课题拟将高速波形采样技术（采样率1 GS/s，分辨率12位）和高性能FPGA的并行处理技术相结合，进行快脉冲的PSD读出电路方案研究。并借鉴已在通信及多媒体领域获得成功应用的离散小波变换等多种信号处理技术，开展基于数字逻辑的高速、高计数率数字化脉冲形状甄别算法研究。

Pluse shape discrimination (PSD) has been widely used in radiation detection systems, including nuclear equipments, facilities of paricle physics experiments, medical diagnostic imaging cameras, and so on. The function of PSD is to differentiate signals based on different pulses shapes, which depends on the time response of the detector or the characteristics of the incident paticle. It can be used to distinguish the species of incident particles, or to obtain the spatial/time information of a radiation event...Many analog-based traditional methods have been invented, which can be generally summarized to two major categories: the double integration method and the shaping-discriminator method. The performance of both methods are restricted by the long deadtime, low discrimination reliability, etc.. The digital PSD method based on waveform sampling technique, by contrast, can maxiumly extract the original information from the detector signals, which can utilize many flexible algorithms and results in a better discrimination effect...Although digital PSD has become a new trend in nuclear/particle experiments, it still needs some improvments. Firstly the sampling rates of exsisting digital PSD are not adequate, which degrade the discrimination effect for rather high speed signals (e. g. with a transient time of about several nanoseconds); secondly the discrimination processes are mainly rely on programs running in DSP (Digital Signal Processor) or personal computer, which limits the discrimination throughput...In this project, a new digital PSD method is proposed, which combining the achievements of high speed analog-to-digital conversion (with 1 GSPS sampling rate and 12-bit resolution) and the advantages of high performance FPGA (Field Programmable Gate Array). Utilizing the DWT (Discrete Wavelet Transform), the digital double integration, the weighting integration, FFT (Fast Fourier Transform) and other signal proscess algorithms in communication engineering and multi-media area, real-time PSD for ultra-fast pulses will be excecuted by large amount of parallel logic cells in FPGA, which helps achieve a greatest throughput(above 100 KHz).