DeepJSCC-f: Deep Joint Source-Channel Coding of Images With Feedback
نویسندگان
چکیده
منابع مشابه
Joint source-channel coding with feedback (extended)
This paper quantifies the fundamental limits of variable-length transmission of a general (possibly analog) source over a memoryless channel with noiseless feedback, under a distortion constraint. We consider excess distortion, average distortion and guaranteed distortion (d-semifaithful codes). In contrast to the asymptotic fundamental limit, a general conclusion is that allowing variable-leng...
متن کاملJoint source-channel subband coding of images
This paper proposes a new adaptive source-channel coding scheme in the context of subband coding. We rst express the total mean-squared distortion su ered by the source in terms of source and channel distortions of the subbands. We then minimize this total distortion by an appropriate choice of source and channel coding rates for the subbands. This corresponds to casting the conventional bit al...
متن کاملLecture 17 : Feedback , Joint Source Channel Coding , Continuous Channel
If we consider codes that are not necessarily uniquely decodable, then we can encode above the information capacity of the channel. It is important to note however that the probability of error for non-uniquely decodable codes when transmitting strings of source symbols can never approach 0. Consider the following example, we have a binary symmetric channel with cross over problem as shown in F...
متن کاملDeep Learning for Joint Source-Channel Coding of Text
We consider the problem of joint source and channel coding of structured data such as natural language over a noisy channel. The typical approach to this problem in both theory and practice involves performing source coding to first compress the text and then channel coding to add robustness for the transmission across the channel. This approach is optimal in terms of minimizing end-to-end dist...
متن کاملSignal processing for joint source channel coding of digital images
An example of arithmetic coding : The source symbols are a, b, c with p(a) = 0.011, p(b) = 0.011, p(c) = 0. Wavelet coefficients of test images. Subbands are independently scaled. Most energy is concentrated in the low frequency (upper-left) subbands and a few coefficients in other subbands (in the locations of edges).. 2.6 (a)-A factor graph for a [6, 3, 3] binary code C. Function nodes are dr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Journal on Selected Areas in Information Theory
سال: 2020
ISSN: 2641-8770
DOI: 10.1109/jsait.2020.2987203