the principle of dimensionality reduction with pca is the representation of the dataset ‘x’in terms of eigenvectors ei ∈ rn  of its covariance matrix. the eigenvectors oriented in the direction with the maximum variance of x in rn carry the most      relevant information of x. these eigenvectors are called principal components [8]. assume that n images in a set are originally represented in mat...

در این مقاله، روش جدیدی برای تخمین نسبت سیگنال به نویز (snr) سیگنال ترکیب ارائه شده است که بر پایه روش آنالیز ترکیب شنیداری محاسباتی (casa) است. در روش ارائه شده، ماسک باینری ایده آل (ibm) که به طور معمول هدف محاسباتی سیستم های مبتنی بر casa است، برای تخمین snr سیگنال گفتار نویزی به کار گرفته می شود. روش پیشنهادی با استفاده از ibm و چندین ماسک شبه ibm ارزیابی شده است. این روش، ساده و از نظر محا...

remote sensing using small spacecraft arising from multi-objective economic activity problems is getting more and more developed. these satellites require very accurate pointing to specific locations of interest, with high reliability and small latency. the space borne imaging systems always attempted to achieve the highest ground resolution possible with the available technology at the given t...

background: mediodorsal (md) thalamic nucleus, which is considered to take place between extra pyramidal and limbic feedback circuit, receives projective fibers from ventrolateral neurons of reticular part of substantia nigra (snr). in order to better understand the influence and chemical reaction of these fibers upon md nucleus, the morphology and synaptology of them were examined in the prese...