Abstract: A method for image zoom out processing includes: determining whether a predetermined zoom out ratio is smaller than a first predetermined threshold; when the predetermined zoom out ratio is smaller than the first predetermined threshold, performing a zoom out process on an image according to the first predetermined threshold by a bilinear interpolation algorithm to obtain a zoomed out image; determining whether a product of a resolution of the zoomed out image and the first predetermined threshold is greater than or equal to a target resolution; when the product is greater than the target resolution, repeating the step of performing the zoom out process; when the product is smaller than the target resolution, performing the zoom out process on the image according to a second predetermined threshold by the bilinear interpolation algorithm so that the resolution of the zoomed out image reaches the target resolution.

Abstract: A channel and noise estimation method includes: performing channel estimation on a received signal to obtain a real channel estimation value; filtering the real channel estimation value to obtain a filtered channel estimation value; calculating a biased noise power value, a biased signal power value, a biased noise correlation and a biased signal correlation according to the filtered channel estimation value; calculating an unbiased noise power value, an unbiased signal power value, an unbiased noise correlation and an unbiased signal correlation according to the biased noise power value, the biased signal power value, the biased noise correlation and the biased signal correlation.

Abstract: A method for image zoom out processing includes: determining whether a predetermined zoom out ratio is smaller than a first predetermined threshold; when the predetermined zoom out ratio is smaller than the first predetermined threshold, performing a zoom out process on an image according to the first predetermined threshold by a bilinear interpolation algorithm to obtain a zoomed out image; determining whether a product of a resolution of the zoomed out image and the first predetermined threshold is greater than or equal to a target resolution; when the product is greater than the target resolution, repeating the step of performing the zoom out process; when the product is smaller than the target resolution, performing the zoom out process on the image according to a second predetermined threshold by the bilinear interpolation algorithm so that the resolution of the zoomed out image reaches the target resolution.

Abstract: A channel and noise estimation method includes: performing channel estimation on a received signal to obtain a real channel estimation value; filtering the real channel estimation value to obtain a filtered channel estimation value; calculating a biased noise power value, a biased signal power value, a biased noise correlation and a biased signal correlation according to the filtered channel estimation value; calculating an unbiased noise power value, an unbiased signal power value, an unbiased noise correlation and an unbiased signal correlation according to the biased noise power value, the biased signal power value, the biased noise correlation and the biased signal correlation.